// Add a new book to the documentation collection. Use when user provides a URL to a book page or tweet linking to one.
Fetch a non-accessible paper PDF via Sci-Hub. Use when a paper is behind a paywall or not freely available. Accepts a DOI, paper URL, or arXiv ID.
Add a new research paper to the documentation collection. Use when user provides a URL to a paper or tweet linking to one.
Add a new code repository to the documentation collection. Use when user provides a URL to a GitHub, GitLab, Bitbucket, source repository, or a discussion linking to one.
Add a new blog post or article to the documentation collection. Use when user provides a URL to a blog post, article, or tweet linking to one.
Pick a random item from the trading content collection and compose a tweet about it on X.
| name | add-book |
| description | Add a new book to the documentation collection. Use when user provides a URL to a book page or tweet linking to one. |
| argument-hint | ["url"] |
Add a new book to the documentation collection.
Check browser is activated:
tabs_context_mcp to verify browser connectionclaude --chrome or type /chromeFind the canonical book page: If the input URL is:
Important: For Twitter/X and sites requiring JavaScript, use browser automation instead of WebFetch.
Extract book information:
For pages requiring browser: Use navigate to open the page, then get_page_text or read_page to extract content. If CAPTCHA appears, ask the user to complete it manually.
Determine category: Based on the extracted content, automatically determine the category:
source/learn/books.rst) - for books about algorithmic trading, quantitative finance, portfolio management, risk management, market microstructure, etc.source/learn/ai-and-machine-learning.rst) - for books primarily about machine learning, deep learning, neural networks, or AI techniques applied to tradingOnly ask the user if the content is ambiguous (e.g., equally about ML techniques AND trading strategies). If clearly one category, proceed without asking.
Add to the appropriate .rst file: Use this exact format (matching existing entries):
Title of the Book
-----------------
Description paragraph(s) here. Keep it informative but concise.
`Buy the book <https://amazon-or-publisher-url-here>`__
Or for free books:
Title of the Book
-----------------
Description paragraph(s) here.
`Read the book <https://url-here>`__
Important formatting notes:
__If the source of the link is a discussion like a tweet, then include a paragraph with a link to that tweet with the comment "Mentioned by XXX in this discussion" and include what they say about it.
Commit and push:
Save as PDF: Follow the procedure in README-browser.md > PDF Generation > How it works with:
'#bookDescription_feature_div' || 'article' || 'main'<slugified-title>.pdf